Pose2poseThis is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !
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TbganProject Page of 'Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks'
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SeganSpeech Enhancement Generative Adversarial Network in TensorFlow
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GenevaCode to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"
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Enlightengan[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
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CycleganPyTorch implementation of CycleGAN
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PsganPeriodic Spatial Generative Adversarial Networks
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Keras GanKeras implementations of Generative Adversarial Networks.
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GdwctOfficial PyTorch implementation of GDWCT (CVPR 2019, oral)
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GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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Mimicry[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
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DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
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PassganA Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)
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Gluon CvGluon CV Toolkit
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MuseganAn AI for Music Generation
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HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
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Big SleepA simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN
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Deep Learning Book《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
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Pggan Pytorch🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥
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Ssgan TensorflowA Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).
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InstaganInstaGAN: Instance-aware Image Translation (ICLR 2019)
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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T2fT2F: text to face generation using Deep Learning
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Lightning BoltsToolbox of models, callbacks, and datasets for AI/ML researchers.
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All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
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RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
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ExposureLearning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
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